| # Caffe |
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| [](https://travis-ci.org/BVLC/caffe) |
| [](LICENSE) |
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| Caffe is a deep learning framework made with expression, speed, and modularity in mind. |
| It is developed by Berkeley AI Research ([BAIR](http://bair.berkeley.edu))/The Berkeley Vision and Learning Center (BVLC) and community contributors. |
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| Check out the [project site](http://caffe.berkeleyvision.org) for all the details like |
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| - [DIY Deep Learning for Vision with Caffe](https://docs.google.com/presentation/d/1UeKXVgRvvxg9OUdh_UiC5G71UMscNPlvArsWER41PsU/edit#slide=id.p) |
| - [Tutorial Documentation](http://caffe.berkeleyvision.org/tutorial/) |
| - [BAIR reference models](http://caffe.berkeleyvision.org/model_zoo.html) and the [community model zoo](https://github.com/BVLC/caffe/wiki/Model-Zoo) |
| - [Installation instructions](http://caffe.berkeleyvision.org/installation.html) |
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| and step-by-step examples. |
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| ## Custom distributions |
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| - [Intel Caffe](https://github.com/BVLC/caffe/tree/intel) (Optimized for CPU and support for multi-node), in particular Xeon processors (HSW, BDW, SKX, Xeon Phi). |
| - [OpenCL Caffe](https://github.com/BVLC/caffe/tree/opencl) e.g. for AMD or Intel devices. |
| - [Windows Caffe](https://github.com/BVLC/caffe/tree/windows) |
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| ## Community |
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| [](https://gitter.im/BVLC/caffe?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge) |
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| Please join the [caffe-users group](https://groups.google.com/forum/#!forum/caffe-users) or [gitter chat](https://gitter.im/BVLC/caffe) to ask questions and talk about methods and models. |
| Framework development discussions and thorough bug reports are collected on [Issues](https://github.com/BVLC/caffe/issues). |
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| Happy brewing! |
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| ## License and Citation |
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| Caffe is released under the [BSD 2-Clause license](https://github.com/BVLC/caffe/blob/master/LICENSE). |
| The BAIR/BVLC reference models are released for unrestricted use. |
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| Please cite Caffe in your publications if it helps your research: |
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| @article{jia2014caffe, |
| Author = {Jia, Yangqing and Shelhamer, Evan and Donahue, Jeff and Karayev, Sergey and Long, Jonathan and Girshick, Ross and Guadarrama, Sergio and Darrell, Trevor}, |
| Journal = {arXiv preprint arXiv:1408.5093}, |
| Title = {Caffe: Convolutional Architecture for Fast Feature Embedding}, |
| Year = {2014} |
| } |
| |
